A self-organizing approach to detection of moving patterns for real-time applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4729 LNCS, Issue , 2007, Pages 181-190

  Maddalena, Lucia ^a   Petrosino, Alfredo ^b  

^a ICAR CNR   (Italy)

^b UNIVERSITY OF NAPLES PARTHENOPE   (Italy)

Author keywords

Motion detection; Neural network; Self organization; Visual surveillance

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS; COMPUTER APPLICATIONS; COMPUTER HARDWARE DESCRIPTION LANGUAGES; COMPUTER VISION; CYBERNETICS; DATA STORAGE EQUIPMENT; DETECTOR CIRCUITS; DIGITAL SIGNAL PROCESSING; IMAGE PROCESSING; IMAGING SYSTEMS; IMAGING TECHNIQUES; NEURAL NETWORKS; OPTICAL DATA PROCESSING; PHOTOGRAPHY; SECURITY SYSTEMS; VIDEO RECORDING; VIDEO STREAMING;

ACTIVITY ANALYSIS; ARTIFICIAL NEURAL NETWORKS; BACKGROUND VARIATION; COGNITIVE SCIENCES; COLOR VIDEOS; COMPUTER VISION APPLICATIONS; DETECTING MOVING OBJECTS; DETECTION ACCURACY; FOCUS-OF-ATTENTION; ILLUMINATION VARIATIONS; IMAGE-PROCESSING SYSTEMS; INFORMATION EXTRACTION; INTERNATIONAL SYMPOSIUM; LIMITED MEMORY; MODELING TECHNIQUES; MOTION DETECTION; MOVING OBJECTS; NEURAL NETWORK; PROCESSING SPEEDS; REAL-TIME APPLICATIONS; ROBUST DETECTION; SELF ORGANIZATION; SELF ORGANIZATIONS; SELF-ORGANIZING APPROACHES; STATIONARY CAMERAS; VIDEO SURVEILLANCE SYSTEMS; VISUAL SURVEILLANCE;

OBJECT RECOGNITION;

EID: 49949116908     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75555-5_18     Document Type: Conference Paper

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